干旱区生态环境知识资源中心(Arid): Assessing the factors influencing water quality using environment water quality index and partial least squares structural equation model in the Ebinur Lake Watershed, Xinjiang, China

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DOI	10.1007/s11356-021-17886-5
	Assessing the factors influencing water quality using environment water quality index and partial least squares structural equation model in the Ebinur Lake Watershed, Xinjiang, China
	Liu, Changjiang; Zhang, Fei; Wang, Xiaoping; Chan, Ngai Weng; Rahman, Haliza Abdul; Yang, Shengtian; Tan, Mou Leong
通讯作者	Zhang, F (corresponding author)，Xinjiang Univ, Key Lab Oasis Ecol, Urumqi 830046, Peoples R China. ; Zhang, F (corresponding author)，Xinjiang Univ, Coll Resources & Environm Sci, Key Lab Wisdom City & Environm Modeling Higher Ed, Urumqi 830046, Peoples R China. ; Zhang, F (corresponding author)，Natl Adm Surveying, Engn Res Ctr Cent Asia Geoinformat Dev & Utilizat, Mapping & Geoinformat, Urumqi 830002, Peoples R China. ; Zhang, F (corresponding author)，Commonwealth Sci & Ind Res Org Land & Water, Canberra, ACT 2601, Australia.
来源期刊	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN	0944-1344
EISSN	1614-7499
出版年	2022-01
英文摘要	Surface water quality deterioration is commonly associated with environmental changes and human activities. Although some research has been carried out to evaluate the relationship between various influencing factors and water quality, there is still very little scientific understanding on how to accurately define the key factors of water quality deterioration. This study aims to quantify the impact of environmental factors and land use land cover (LULC) changes on water quality in the Ebinur Lake Watershed, Xinjiang, China. A total of 20 water parameters were used to calculate the Environment Water Quality Index (CWQI). Meanwhile, the partial least squares-structural equation model (PLS-SEM) was used to quantify the impact of eleven factors influencing water quality in the watershed. About 33.3% of the monitoring points that located mostly in the downstream region with dominant anthropogenic activities were detected as poor quality. There were no obvious temporal changes in water quality from 2016 to 2019. The PLS-SEM simulation shows that the latent variable land use/cover types (path coefficient = - 0.600) and Environmental factor (path coefficient = - 0.313) are two major factors affected water quality in the Ebinur Lake Watershed, with a strong explanatory power to water quality change (R-2 = 0.727). In the latent variable Environmental factors, the NDVI and night light brightness value have a great influence on water quality, with the weights of 0.451 and 0.427, respectively. Correspondingly, the farmland and forest land within the latent variable of Land use/cover type have a considerable impact water quality, with the weights of 0.361 and - 0.340, respectively. In conclusion, the influence of anthropogenic activities on surface water quality of the Ebinur Lake Watershed is greater than that of environmental factors. Compared with the traditional multivariate statistical method, PLS-SEM provides a new insight for quantifying the complex relationship between different influencing factors and water quality.
英文关键词	Surface water Water quality CWQI PLS-SEM Driving factors
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000740587200009
WOS关键词	RIVER WATER ; DRIVING FORCES ; ARID REGION ; MANAGEMENT ; COVER ; SCALE ; SIMULATION ; VARIABLES ; POLLUTION ; MALAYSIA
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/377162
作者单位	[Liu, Changjiang; Zhang, Fei] Xinjiang Univ, Key Lab Oasis Ecol, Urumqi 830046, Peoples R China; [Liu, Changjiang] Xinjiang Inst Technol, Aksu 843000, Peoples R China; [Liu, Changjiang; Zhang, Fei] Xinjiang Univ, Coll Resources & Environm Sci, Key Lab Wisdom City & Environm Modeling Higher Ed, Urumqi 830046, Peoples R China; [Zhang, Fei] Natl Adm Surveying, Engn Res Ctr Cent Asia Geoinformat Dev & Utilizat, Mapping & Geoinformat, Urumqi 830002, Peoples R China; [Zhang, Fei] Commonwealth Sci & Ind Res Org Land & Water, Canberra, ACT 2601, Australia; [Wang, Xiaoping] Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210023, Peoples R China; [Chan, Ngai Weng; Tan, Mou Leong] Univ Sains Malaysia, Sch Humanities, GeoInformat Unit, Geog Sect, George Town 11800, Malaysia; [Rahman, Haliza Abdul] Univ Putra Malaysia, Inst Social Sci Studies, Serdang 43400, Malaysia; [Yang, Shengtian] Beijing Normal Univ, Coll Water Sci, Beijing Key Lab Urban Hydrol Cycle & Sponge City, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Liu, Changjiang,Zhang, Fei,Wang, Xiaoping,et al. Assessing the factors influencing water quality using environment water quality index and partial least squares structural equation model in the Ebinur Lake Watershed, Xinjiang, China[J],2022.
APA	Liu, Changjiang.,Zhang, Fei.,Wang, Xiaoping.,Chan, Ngai Weng.,Rahman, Haliza Abdul.,...&Tan, Mou Leong.(2022).Assessing the factors influencing water quality using environment water quality index and partial least squares structural equation model in the Ebinur Lake Watershed, Xinjiang, China.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH.
MLA	Liu, Changjiang,et al."Assessing the factors influencing water quality using environment water quality index and partial least squares structural equation model in the Ebinur Lake Watershed, Xinjiang, China".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2022).